---
license: apache-2.0
language:
- en
base_model:
- prithivMLmods/BetaCeti-Beta-4B-Prime1
pipeline_tag: text-generation
library_name: transformers
tags:
- text-generation-inference
- code
- math
---

# **BetaCeti-Beta-4B-Prime1-GGUF**

> **BetaCeti-Beta-4B-Prime1** is a compact, coding-optimized language model built on the **Qwen3-4B architecture**, tailored for high-accuracy **code generation**, **debugging**, and **technical reasoning**. With **4 billion parameters**, it strikes a balance between performance and efficiency, making it an ideal assistant for developers, educators, and engineers working in constrained environments or requiring fast inference.


## Model Files

| File Name                                  | Precision     | Size    |
|--------------------------------------------|---------------|---------|
| BetaCeti-Beta-4B-Prime1.BF16.gguf           | BF16          | 8.05 GB |
| BetaCeti-Beta-4B-Prime1.F16.gguf            | FP16          | 8.05 GB |
| BetaCeti-Beta-4B-Prime1.F32.gguf            | FP32          | 16.1 GB |
| BetaCeti-Beta-4B-Prime1.Q2_K.gguf           | Q2_K          | 1.67 GB |
| BetaCeti-Beta-4B-Prime1.Q3_K_M.gguf         | Q3_K_M        | 2.08 GB |
| BetaCeti-Beta-4B-Prime1.Q4_K_M.gguf         | Q4_K_M        | 2.50 GB |
| BetaCeti-Beta-4B-Prime1.Q5_K_M.gguf         | Q5_K_M        | 2.89 GB |
| BetaCeti-Beta-4B-Prime1.Q8_0.gguf           | Q8_0          | 4.28 GB |
| config.json                                 | Config File   | 31 Bytes |

## Quants Usage 

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):

![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)